






"""simple docstring"""





import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE   :							Tuple          =		logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   :							Tuple          =		{'''vocab_file''': '''sentencepiece.model'''}

_SCREAMING_SNAKE_CASE   :							int          =		{
    '''vocab_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/sentencepiece.model''',
    },
}

_SCREAMING_SNAKE_CASE   :							Optional[int]          =		{
    '''google/rembert''': 256,
}






class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Tuple		=					VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE		:	Dict		=					PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE		:	List[Any]		=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






    def __init__(			self	:				Any			,		__SCREAMING_SNAKE_CASE	:				Tuple			,		__SCREAMING_SNAKE_CASE	:				List[str]=False			,		__SCREAMING_SNAKE_CASE	:				Dict=True			,		__SCREAMING_SNAKE_CASE	:				Tuple=True			,		__SCREAMING_SNAKE_CASE	:				Optional[int]="[CLS]"			,		__SCREAMING_SNAKE_CASE	:				Optional[int]="[SEP]"			,		__SCREAMING_SNAKE_CASE	:				Tuple="[UNK]"			,		__SCREAMING_SNAKE_CASE	:				Dict="[SEP]"			,		__SCREAMING_SNAKE_CASE	:				Tuple="[PAD]"			,		__SCREAMING_SNAKE_CASE	:				List[Any]="[CLS]"			,		__SCREAMING_SNAKE_CASE	:				List[str]="[MASK]"			,		**__SCREAMING_SNAKE_CASE	:				int			,		)	->						int:
      super().__init__(
          do_lower_case=__SCREAMING_SNAKE_CASE			,		remove_space=__SCREAMING_SNAKE_CASE			,		keep_accents=__SCREAMING_SNAKE_CASE			,		bos_token=__SCREAMING_SNAKE_CASE			,		eos_token=__SCREAMING_SNAKE_CASE			,		unk_token=__SCREAMING_SNAKE_CASE			,		sep_token=__SCREAMING_SNAKE_CASE			,		pad_token=__SCREAMING_SNAKE_CASE			,		cls_token=__SCREAMING_SNAKE_CASE			,		mask_token=__SCREAMING_SNAKE_CASE			,		**__SCREAMING_SNAKE_CASE			,		)

      lowerCamelCase_       	=		do_lower_case
      lowerCamelCase_       	=		remove_space
      lowerCamelCase_       	=		keep_accents
      lowerCamelCase_       	=		vocab_file

      lowerCamelCase_       	=		spm.SentencePieceProcessor()
      self.sp_model.Load(__SCREAMING_SNAKE_CASE   )






    @property
    def   UpperCamelCase			(			self	:				Union[str, Any]   )	->						Any:
      return len(self.sp_model   )






    def   UpperCamelCase			(			self	:				Any   )	->						int:
      lowerCamelCase_       	=		{self.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE   ): i for i in range(self.vocab_size   )}
      vocab.update(self.added_tokens_encoder   )
      return vocab






    def __getstate__(			self	:				Union[str, Any]   )	->						int:
      lowerCamelCase_       	=		self.__dict__.copy()
      lowerCamelCase_       	=		None
      return state






    def __setstate__(			self	:				Optional[Any]			,		__SCREAMING_SNAKE_CASE	:				str   )	->						Union[str, Any]:
      lowerCamelCase_       	=		d
      lowerCamelCase_       	=		spm.SentencePieceProcessor()
      self.sp_model.Load(self.vocab_file   )






    def   UpperCamelCase			(			self	:				Union[str, Any]			,		__SCREAMING_SNAKE_CASE	:				List[str]			,		__SCREAMING_SNAKE_CASE	:				List[Any]=False   )	->						int:
      lowerCamelCase_       	=		self.sp_model.EncodeAsPieces(__SCREAMING_SNAKE_CASE   )
      return pieces






    def   UpperCamelCase			(			self	:				Tuple			,		__SCREAMING_SNAKE_CASE	:				str   )	->						Tuple:
      return self.sp_model.PieceToId(__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				List[Any]			,		__SCREAMING_SNAKE_CASE	:				List[Any]   )	->						str:
      return self.sp_model.IdToPiece(__SCREAMING_SNAKE_CASE   )






    def   UpperCamelCase			(			self	:				Optional[int]			,		__SCREAMING_SNAKE_CASE	:				List[Any]   )	->						int:
      lowerCamelCase_       	=		self.sp_model.decode_pieces(__SCREAMING_SNAKE_CASE   )
      return out_string






    def   UpperCamelCase			(			self	:				Tuple			,		__SCREAMING_SNAKE_CASE	:				List[int]			,		__SCREAMING_SNAKE_CASE	:				Optional[List[int]] = None   )	->						List[int]:
      lowerCamelCase_       	=		[self.sep_token_id]
      lowerCamelCase_       	=		[self.cls_token_id]
      if token_ids_a is None:
        return cls + token_ids_a + sep
      return cls + token_ids_a + sep + token_ids_a + sep






    def   UpperCamelCase			(			self	:				List[str]			,		__SCREAMING_SNAKE_CASE	:				List[int]			,		__SCREAMING_SNAKE_CASE	:				Optional[List[int]] = None			,		__SCREAMING_SNAKE_CASE	:				bool = False   )	->						List[int]:

      if already_has_special_tokens:
        if token_ids_a is not None:
          raise ValueError(
              'You should not supply a second sequence if the provided sequence of '
              'ids is already formatted with special tokens for the model.'   )
        return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

      if token_ids_a is not None:
        return [1] + ([0] * len(__SCREAMING_SNAKE_CASE   )) + [1] + ([0] * len(__SCREAMING_SNAKE_CASE   )) + [1]
      return [1] + ([0] * len(__SCREAMING_SNAKE_CASE   )) + [1]






    def   UpperCamelCase			(			self	:				Tuple			,		__SCREAMING_SNAKE_CASE	:				List[int]			,		__SCREAMING_SNAKE_CASE	:				Optional[List[int]] = None   )	->						List[int]:
      lowerCamelCase_       	=		[self.sep_token_id]
      lowerCamelCase_       	=		[self.cls_token_id]

      if token_ids_a is None:
        return len(cls + token_ids_a + sep   ) * [0]
      return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]






    def   UpperCamelCase			(			self	:				List[Any]			,		__SCREAMING_SNAKE_CASE	:				str			,		__SCREAMING_SNAKE_CASE	:				Optional[str] = None   )	->						Tuple[str]:
      if not os.path.isdir(__SCREAMING_SNAKE_CASE   ):
        logger.error('Vocabulary path ({}) should be a directory'.format(__SCREAMING_SNAKE_CASE   )   )
        return
      lowerCamelCase_       	=		os.path.join(
          __SCREAMING_SNAKE_CASE			,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(__SCREAMING_SNAKE_CASE   ):
        copyfile(self.vocab_file			,		__SCREAMING_SNAKE_CASE   )

      return (out_vocab_file,)












"""simple docstring"""





def 	lowerCamelCase__			(				_lowerCamelCase			:						list[list[int | float]]					) ->							int:
  lowerCamelCase_       	=		len(_lowerCamelCase					)
  lowerCamelCase_       	=		len(matrix[0]					)
  lowerCamelCase_       	=		min(_lowerCamelCase						,							_lowerCamelCase					)

  for row in range(_lowerCamelCase					):
    # Check if diagonal element is not zero
    if matrix[row][row] != 0:
      # Eliminate all the elements below the diagonal
      for col in range(row + 1						,							_lowerCamelCase					):
        lowerCamelCase_       	=		matrix[col][row] / matrix[row][row]
        for i in range(_lowerCamelCase						,							_lowerCamelCase					):
          matrix[col][i] -= multiplier * matrix[row][i]
    else:
      # Find a non-zero diagonal element to swap rows
      lowerCamelCase_       	=		True
      for i in range(row + 1						,							_lowerCamelCase					):
        if matrix[i][row] != 0:
          lowerCamelCase_	,      lowerCamelCase_       	=		matrix[i], matrix[row]
          lowerCamelCase_       	=		False
          break
      if reduce:
        rank -= 1
        for i in range(_lowerCamelCase					):
          lowerCamelCase_       	=		matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
      row -= 1

  return rank


if __name__ == "__main__":
  import doctest

  doctest.testmod()




